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A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study.

Fangzhou YuPeixia WuHaowen DengJingfang WuShan SunHuiqian YuJianming YangXianyang LuoJing HeXiulan MaJunxiong WenDanhong QiuGuohui NieRizhao LiuGuohua HuTao ChenCheng ZhangHuawei Li
Published in: Journal of medical Internet research (2022)
The questionnaire-based light gradient boosting machine was able to predict common vestibular disorders and assist decision-making in ENT and vertigo clinics. Further studies with a larger sample size and the participation of neurologists will help assess the generalization and robustness of this machine learning method.
Keyphrases
  • machine learning
  • cross sectional
  • psychometric properties
  • primary care
  • deep learning
  • physical activity
  • artificial intelligence
  • convolutional neural network
  • big data
  • case control